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This control is capable of effecting complex control by artificially simulating the information processing method of the nervous system of living organisms in order to establish a complex input/output relationship that is similar to a human brain.

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Temperature Control

In compliance with the temperature setting at the temperature control switch, the neural network control calculates the outlet temperature based on the input signals from various sensors. In addition, corrections in accordance with the signals from the evaporative temperature sensor and the water temperature sensor are added to control the outlet air temperature.

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Blower Control

Controls the blower motor in accordance with the airflow volume that has been calculated by the neural network control based on the input signals from various sensors.

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Air Outlet Control

Automatically switches the outlets in accordance with the outlet mode ratio that has been calculated by the neural network control based on the input signals from various sensors.

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Air Inlet Control

Automatically controls the air inlet control damper in accordance with the airflow volume that has been calculated by the neural network control.

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Variable Capacity Compressor Control

Controls the compressor to turn ON/OFF and the discharge capacity based on the signals from various sensors.

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Outer Temperature Indication Control

Based on the signals from the ambient temperature sensor, this control calculates the outside temperature, which is then corrected in the air conditioning ECU, and shown in the multi-information display in the combination meter and air conditioning panel.

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Rear Window Defogger Control

Switches the rear defogger on for 15 minutes when the rear defogger switch is switched on. Switches it off if the switch is pressed while it is operating.

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Micro Dust and Pollen Filter Control [See page BE-37]

Quickly removes pollen from the face areas of the driver and front passenger when the micro dust and pollen filter switch is pressed.

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Self-diagnosis

Checks the sensors in accordance with operation of air conditioning switches, then clock displays a DTC (Diagnosis Trouble Code) to indicate if there is a malfunction or not (sensor check function).

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Drives the actuators through a predetermined sequence in accordance with the operation of the air conditioning switches (actuator check function).

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2. Neural Network Control

• In the previous automatic air conditioning system, the ECU determined the required outlet air temperature and blower air volume in accordance with the calculation formula that has been obtained based on information received from the sensors.

However, because the sensors of a person are rather complex, a given temperature is sensed differently, depending on the environment in which the person is situated. For example, a given amount of solar radiation can feel comfortably warm in a cold climate, but extremely uncomfortable in a hot climate. Therefore, as a technique for effecting a higher level of control, a neural network is used in the automatic air conditioning system. With this technique, the data that has been collected under varying environmental conditions is stored in the ECU, which effects control to provide enhanced air conditioning comfort.

• The neural network control consists of neurons in the input layer, intermediate layer, and output layer. The input layer neurons process the input data of the outside temperature, the amount of sunlight, and the room temperature based on the outputs of the switches and sensors, and output them to the intermediate layer neurons. Based on this data, the intermediate layer neurons adjust the strength of the links among the neurons. The sum of these is then calculated by the output layer neurons in the form of the required outlet temperature, solar correction, target airflow volume, and outlet mode control volume. Accordingly, air conditioning ECU controls the servomotors and blower motor in accordance with the control volumes that have been calculated by the neural network control.